scikit-learn: machine learning in Python

Topic Modelling for Humans

Perform data science on data that remains in someone else's server

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

Matplotlib 3.1 cheat sheet.

AudioLDM: Generate speech, sound effects, music and beyond, with text.

Text-to-Audio/Music Generation

Audio generation using diffusion models, in PyTorch.

Fast Diversification for Search & Retrieval

🌎 Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)

Python service microframework

Computational photography pipeline that performs multiple inferences from any image or video.

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

Heirarchical Navigable Small Worlds

deep clustering method for single-channel speech separation